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Associate Process Manager

eClerx·Pune

Pay not statedMid levelFull-time

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About the role

Design, develop, and maintain scalable ETL/ELT data pipelines . Develop efficient data transformations using Python and SQL . Work with large datasets and optimize queries and data processing. Build and maintain data ingestion, transformation, and integration workflows. Collaborate with Data Scientists, Analysts, and business stakeholders to deliver data solutions.

What you'll do

  • Design, develop, and maintain scalable ETL/ELT data pipelines
  • Develop efficient data transformations using Python and SQL
  • Work with large datasets and optimize queries and data processing
  • Build and maintain data ingestion, transformation, and integration workflows
  • Collaborate with Data Scientists, Analysts, and business stakeholders to deliver data solutions

What you need

  • 3–6 years in operations
  • SQL
  • ETL
  • Python
  • Snowflake
  • Data warehousing
  • Data modelling
  • Any graduate

Good to have

  • GCP
  • AWS
  • Azure
  • BigQuery
  • Databricks

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